IDEAS home Printed from https://ideas.repec.org/p/ags/saea13/142989.html
   My bibliography  Save this paper

Applying Input Distance Function to Measure Pre-Recession Efficiencies of Surviving and Critically Insolvent Banks of the Late 2000s Financial Crisis

Author

Listed:
  • Li, Xiaofei
  • Yu, Yingzhuo
  • Escalante, Cesar L.
  • Deng, Xiaohui
  • Epperson, James E.

Abstract

Stochastic frontier analysis is used to evaluate the technical and allocative efficiencies for banks classified based on industry specialization (agricultural and non-agricultural banks) and solvency condition (non-critical and critical banks). The analytical framework allows for comparisons of input utilization decisions that could translate to cost savings and enhanced operating efficiencies.

Suggested Citation

  • Li, Xiaofei & Yu, Yingzhuo & Escalante, Cesar L. & Deng, Xiaohui & Epperson, James E., 2013. "Applying Input Distance Function to Measure Pre-Recession Efficiencies of Surviving and Critically Insolvent Banks of the Late 2000s Financial Crisis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142989, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea13:142989
    DOI: 10.22004/ag.econ.142989
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/142989/files/2013%20SAEA%20Apply%20Input%20Distance%20Function.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.142989?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Agricultural Finance;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saea13:142989. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.